Accurate forecasting of the U.K. gross value added (GVA) is fundamental ...
Piecewise stationarity is a widely adopted assumption for modelling
non-...
One of the contemporary challenges in anomaly detection is the ability t...
Motivated by a condition monitoring application arising from subsea
engi...
The ability to quickly and accurately detect anomalous structure within ...
In this paper, we propose CE-BASS, a particle mixture Kalman filter whic...
The classical regular and partial autocorrelation functions are powerful...
A common approach to detect multiple changepoints is to minimise a measu...
In recent years, there has been a growing interest in identifying anomal...
This paper describes the R package mvLSW. The package contains a suite o...
Distributed acoustic sensing technology is increasingly being used to su...
We study the problem of determining the optimal low dimensional projecti...
In the multiple changepoint setting, various search methods have been
pr...